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mnemex

v0.31.2

Published

Seven-layer code memory — benchmarked. AST-aware chunking, symbol graph with PageRank, semantic + BM25 retrieval. Personal, team-shared, offline-first, any embedding or LLM provider. MCP server + CLI.

Readme


Local semantic code search for Claude Code. Index your codebase once, search it with natural language.

Install

# npm
npm install -g mnemex

# homebrew (macOS)
brew tap MadAppGang/tap && brew install mnemex

# or just curl it
curl -fsSL https://raw.githubusercontent.com/MadAppGang/mnemex/main/install.sh | bash

Why this exists

Claude Code's built-in search (grep/glob) works fine for exact matches. But when you're trying to find "where do we handle auth tokens" or "error retry logic" — good luck.

mnemex fixes that. It chunks your code using tree-sitter (so it actually understands functions/classes, not just lines), generates embeddings via OpenRouter, and stores everything locally in LanceDB.

The search combines keyword matching with vector similarity. Works surprisingly well for finding stuff you kinda-sorta remember but can't grep for.

Quick start

# first time setup
mnemex init

# index your project
mnemex index

# search
mnemex search "authentication flow"
mnemex search "where do we validate user input"

That's it. Changed some files? Just search again — it auto-reindexes modified files before searching.

Embedding Model Benchmark

Run your own benchmark with mnemex benchmark. Here are results on real code search tasks:

| Model | Speed | NDCG | Cost | Notes | |-------|-------|------|------|-------| | voyage-code-3 | 4.5s | 175% | $0.007 | Best quality | | gemini-embedding-001 | 2.9s | 170% | $0.007 | Great free option | | voyage-3-large | 1.8s | 164% | $0.007 | Fast & accurate | | voyage-3.5-lite | 1.2s | 163% | $0.001 | Best value | | voyage-3.5 | 1.2s | 150% | $0.002 | Fastest | | mistral-embed | 16.6s | 150% | $0.006 | Slow | | text-embedding-3-small | 3.0s | 141% | $0.001 | Decent | | text-embedding-3-large | 3.1s | 141% | $0.005 | Not worth it | | all-minilm-l6-v2 | 2.7s | 128% | $0.0001 | Cheapest (local) |

Summary:

  • 🏆 Best Quality: voyage-code-3 (175% NDCG)
  • Fastest: voyage-3.5 (1.2s)
  • 💰 Cheapest: all-minilm-l6-v2 (local, free)

Embedding providers

mnemex supports three embedding providers:

OpenRouter (cloud, default)

mnemex init  # select "OpenRouter"
# requires API key from https://openrouter.ai/keys
# ~$0.01 per 1M tokens

Ollama (local, free)

# install Ollama first: https://ollama.ai
ollama pull nomic-embed-text

mnemex init  # select "Ollama"

Recommended Ollama models:

  • nomic-embed-text — best quality, 768d, 274MB
  • mxbai-embed-large — large context, 1024d, 670MB
  • all-minilm — fastest, 384d, 46MB

Custom endpoint (local server)

mnemex init  # select "Custom endpoint"
# expects OpenAI-compatible /embeddings endpoint

View available models:

mnemex --models           # OpenRouter models
mnemex --models --ollama  # Ollama models

Using with Claude Code

Run it as an MCP server:

mnemex --mcp

Then Claude Code can use these tools:

  • search_code — semantic search (auto-indexes changes)
  • index_codebase — manual full reindex
  • get_status — check what's indexed
  • clear_index — start fresh

Grep replacement (mnemex rg)

mnemex ships a drop-in rg replacement that Claude Code's built-in Grep tool will call. It runs real ripgrep and mnemex semantic search in parallel, then merges the results with mnemex-ranked hits listed first — so every result rg would have returned is preserved, plus semantically related hits that literal regex misses.

# One-time install
mnemex rg install

# This writes ~/.local/bin/rg as a shim that execs `mnemex rg "$@"`
# and sets USE_BUILTIN_RIPGREP=0 in ~/.claude/settings.json so that
# Claude Code picks up the PATH rg instead of its bundled binary.

Requirements:

  • ~/.local/bin must be early on your $PATH: export PATH="$HOME/.local/bin:$PATH"
  • The project needs a .mnemex/ index for augmentation to kick in. Without one, the shim is a zero-overhead passthrough to the bundled rg.

How it behaves:

  • With an index: runs rg + mnemex search in parallel (2s cap on mnemex), merges output with semantic hits first, deduplicated by file:line.
  • Without an index: direct passthrough to the bundled rg. Byte-identical output, no overhead.
  • --count mode or no pattern: passthrough only (mnemex can't meaningfully augment counts).
  • Flag-honoring: mnemex-side filtering respects -F, -w, -x, -i, -s, -S so it doesn't surface lines that rg would have rejected.

To revert:

mnemex rg uninstall
# Removes ~/.local/bin/rg and unsets USE_BUILTIN_RIPGREP in ~/.claude/settings.json

IDE Integrations

mnemex integrates with AI coding assistants to replace grep/glob with semantic search.

Claude Code

Install the code-analysis plugin for automatic mnemex integration:

# In Claude Code
/plugin marketplace add MadAppGang/claude-code

# Enable the plugin in settings
# Add to your Claude Code settings:
{
  "enabledPlugins": {
    "code-analysis@mag-claude-plugins": true
  }
}

This gives you detective agents that use mnemex under the hood:

  • developer-detective — trace implementations, find usages
  • architect-detective — analyze architecture, find patterns
  • tester-detective — find test gaps, coverage analysis
  • debugger-detective — trace errors, find bug sources

OpenCode

Automatic installation:

# Install plugins (suggestion + tools)
mnemex install opencode

# Check status
mnemex install opencode status

# Uninstall
mnemex install opencode uninstall

Manual installation — see docs/OPENCODE_INTEGRATION.md.

VS Code autocomplete (experimental)

This repo also contains an experimental VS Code inline completion extension that talks to a persistent mnemex autocomplete server.

  • Autocomplete server: mnemex --autocomplete-server --project .
  • VS Code extension source: extensions/vscode-mnemex-autocomplete/

What it actually does

  1. Parses code with tree-sitter — extracts functions, classes, methods as chunks (not dumb line splits)
  2. Generates embeddings via OpenRouter (default: voyage-3.5-lite, best value)
  3. Stores locally in LanceDB — everything stays in .mnemex/ in your project
  4. Hybrid search — BM25 for exact matches + vector similarity for semantic. Combines both.
  5. Builds symbol graph — tracks references between symbols, computes PageRank for importance

Pack — export codebase for AI

Pack your entire codebase into a single AI-friendly file. Works like repomix but with correct XML escaping and built right into mnemex.

# XML format (default, repomix-compatible)
mnemex pack

# Markdown or plain text
mnemex pack --format markdown
mnemex pack --format plain

# Pipe to stdout
mnemex pack --stdout | pbcopy

# Filter files
mnemex pack --include "src/**/*.ts" --exclude "**/*.test.ts"

# Custom output path
mnemex pack -o context.xml

Why not just use repomix?

You can — mnemex's XML output is structurally compatible with repomix. But mnemex pack actually produces more correct XML. In independent testing by multiple AI models (GPT-5, Kimi K2.5), mnemex scored higher:

| Criterion | mnemex pack | repomix v1.12 | |-----------|---------------|---------------| | XML well-formedness | Correct — escapes & < > in content | Broken — raw <div>, & in content | | Binary file marking | [binary] tag in directory tree | Listed but not marked | | Directory tree | Tree characters (├── └── ) | Flat indentation | | .gitignore in output | Included | Omitted |

The key issue: repomix v1.12 doesn't XML-escape file content, so files containing <, >, or & produce invalid XML that breaks parsers. mnemex handles this correctly.

Symbol graph & code analysis

Beyond semantic search, mnemex builds a symbol graph with PageRank scores. This enables powerful code analysis:

Dead code detection

mnemex dead-code
# Finds: symbols with zero callers + low PageRank + not exported
# Great for: cleaning up unused code

Test coverage gaps

mnemex test-gaps
# Finds: high-PageRank symbols not called by any test file
# Great for: prioritizing what to test next

Change impact analysis

mnemex impact FileTracker
# Shows: all transitive callers, grouped by file
# Great for: understanding blast radius before refactoring

Keep index fresh

# Option 1: Watch mode (daemon)
mnemex watch

# Option 2: Git hook (auto-index after commits)
mnemex hooks install

Documentation indexing

mnemex can automatically fetch and index documentation for your project dependencies. This gives you semantic search across both your code AND the frameworks you use.

How it works

  1. Detects dependencies from package.json, requirements.txt, go.mod, Cargo.toml
  2. Fetches docs using a provider hierarchy with automatic fallback:
    • Context7 — 6000+ libraries, versioned API docs & code examples (requires free API key)
    • llms.txt — Official AI-optimized docs from framework sites (Vue, Nuxt, Langchain, etc.)
    • DevDocs — Consistent offline documentation for 100+ languages
  3. Chunks & indexes documentation alongside your code
  4. Search everything with natural language queries

Setup

mnemex init  # prompts to enable docs & configure Context7

Or configure manually:

export CONTEXT7_API_KEY=your-key  # get free key at https://context7.com/dashboard

Commands

mnemex docs fetch              # fetch docs for all detected dependencies
mnemex docs fetch react vue    # fetch specific libraries
mnemex docs status             # show indexed docs & cache state
mnemex docs clear              # clear cached documentation

What gets indexed

| Source | Best For | Coverage | Auth Required | |--------|----------|----------|---------------| | Context7 | Code examples, API reference | 6000+ libs | Free API key | | llms.txt | Official structured docs | 500+ sites | None | | DevDocs | Offline fallback | 100+ langs | None |

Configuration

In ~/.mnemex/config.json:

{
  "docs": {
    "enabled": true,
    "providers": ["context7", "llms_txt", "devdocs"],
    "cacheTTL": 24,
    "maxPagesPerLibrary": 10,
    "excludeLibraries": ["lodash"]
  }
}

Environment variables:

  • CONTEXT7_API_KEY — Context7 API key (optional but recommended)
  • MNEMEX_DOCS_ENABLED — disable docs entirely (false)

Supported languages

TypeScript, JavaScript, Python, Go, Rust, C, C++, Java.

If your language isn't here, it falls back to line-based chunking. Works, but not as clean.

CLI reference

Basic commands

mnemex init              # setup wizard
mnemex index [path]      # index codebase
mnemex search <query>    # search (auto-reindexes changed files)
mnemex status            # what's indexed
mnemex clear             # nuke the index
mnemex models            # list embedding models
mnemex benchmark         # benchmark embedding models
mnemex --mcp             # run as MCP server

Symbol graph commands (for AI agents)

mnemex map [query]       # repo structure with PageRank scores
mnemex symbol <name>     # find symbol definition
mnemex callers <name>    # what calls this symbol?
mnemex callees <name>    # what does this symbol call?
mnemex context <name>    # symbol + callers + callees

Code analysis commands

mnemex dead-code         # find potentially dead code (zero callers + low PageRank)
mnemex test-gaps         # find important code without test coverage
mnemex impact <symbol>   # analyze change impact (transitive callers)

Pack commands

mnemex pack [path]       # pack codebase to XML (default: <name>-pack.xml)
mnemex pack --format md  # markdown format
mnemex pack --stdout     # write to stdout
mnemex pack --include "src/**" --exclude "*.test.ts"

Pack flags

-o, --output <file>       # output file path
--format <xml|markdown|plain>  # output format (default: xml)
--stdout                  # write to stdout instead of file
--include <pattern>       # glob pattern to include (repeatable)
--exclude <pattern>       # additional exclusion pattern (repeatable)
--no-gitignore            # don't use .gitignore patterns
--max-file-size <bytes>   # max file size (default: 1048576)
--tokens                  # show token count report

Interactive TUI

mnemex ui [path]         # full-screen TUI (search, map, graph, analysis, doctor)
mnemex setup             # interactive setup wizard (provider, model, scope)
mnemex monitor [path]    # passive display of MCP activity from Claude Code

Keyboard shortcuts in the TUI:

  • Tab / Shift+Tab — cycle tabs
  • 15 — jump to tab (search, map, graph, analysis, doctor)
  • ? — toggle help overlay
  • q — quit

Developer experience

mnemex watch             # auto-reindex on file changes (daemon mode)
mnemex hooks install     # install git post-commit hook for auto-indexing
mnemex hooks uninstall   # remove the hook
mnemex hooks status      # check if hook is installed

IDE integrations

mnemex install opencode                # install OpenCode plugins (suggestion + tools)
mnemex install opencode --type tools   # install tools plugin only
mnemex install opencode status         # check installation status
mnemex install opencode uninstall      # remove plugins
mnemex rg install                      # install ~/.local/bin/rg shim for Claude Code Grep
mnemex rg uninstall                    # remove shim and revert Claude Code settings
mnemex rg [rg args...]                 # drop-in ripgrep + mnemex semantic augmentation

Documentation commands

mnemex docs fetch        # fetch docs for all detected dependencies
mnemex docs fetch <lib>  # fetch docs for specific library
mnemex docs status       # show indexed docs and providers
mnemex docs clear        # clear cached documentation

Search flags

-n, --limit <n>       # max results (default: 10)
-l, --language <lang> # filter by language
-y, --yes             # auto-create index without asking
--no-reindex          # skip auto-reindex

Code analysis flags

--max-pagerank <n>    # dead-code threshold (default: 0.001)
--min-pagerank <n>    # test-gaps threshold (default: 0.01)
--max-depth <n>       # impact analysis depth (default: 10)
--include-exported    # include exported symbols in dead-code scan
--agent               # agent mode: no logo, compact output (for AI tools)

Config

Env vars:

  • OPENROUTER_API_KEY — for OpenRouter provider
  • MNEMEX_MODEL — override embedding model
  • CONTEXT7_API_KEY — for documentation fetching (optional)

Files:

  • ~/.mnemex/config.json — global config (provider, model, docs settings)
  • .mnemex/ — project index (add to .gitignore)

Limitations

  • First index takes a minute on large codebases
  • Ollama is slower than cloud (runs locally, no batching)
  • Embedding quality depends on the model you pick
  • Not magic — sometimes grep is still faster for exact strings

License

MIT


GitHub · npm · OpenRouter